Cloud Computing Engineer
About the job
- A bachelor's degree in Computer Science, Engineering, or a related field.
- Five to ten years of hands-on experience designing, configuring, and operating Kubernetes in production, ideally on Amazon Elastic Kubernetes Service, including cluster operations, package management, autoscaling, service meshes, and observability tooling.
- Deep knowledge of AWS compute and container services, particularly Amazon Elastic Compute Cloud and Amazon Elastic Container Service.
- Proficiency in Infrastructure as Code using Terraform.
- Experience with software development in Python.
- A solid understanding of Linux systems, container runtimes, and networking fundamentals.
- Familiarity with continuous integration and continuous delivery pipelines and GitOps workflows for infrastructure and application delivery.
- A strong grasp of cloud security principles, including identity and access management, network segmentation, and secrets management.
- A commitment to the highest ethical standards.
- Design, build, and operate Kubernetes clusters on Amazon Elastic Kubernetes Service, including cluster lifecycle management, networking, autoscaling, and workload scheduling.
- Manage and optimize Amazon Elastic Compute Cloud-based compute infrastructure, including instance selection, placement strategies, capacity planning, and utilization analysis.
- Operate and improve Amazon Elastic Container Service-based services where applicable, ensuring consistency across container runtime environments.
- Develop and maintain Infrastructure as Code using Terraform to provision and manage compute resources at scale.
- Collaborate with development and platform teams to define compute patterns, containerization standards, and deployment best practices.
- Monitor compute environments for availability, performance, and cost, driving continuous optimization across the fleet.
- Contribute to architectural decisions around workload placement, multi-tenancy, operating-system image and container lifecycle, and compute isolation strategies.
- Experience with other cloud platforms such as Microsoft Azure or Google Cloud Platform.
About the company
Point72 is a global asset management firm offering discretionary long/short equity, systematic, and macro investing, with a growing private markets portfolio. Its products combine active fund management with model-driven approaches across assets and geographies, earning money through management fees and performance-based incentives. The firm differentiates itself through a mix of discretionary trading, systematic methods, macro-focused strategies, a global footprint, and a commitment to ESG practices under Steven A. Cohen. Its goal is to generate superior returns for clients, grow assets, and maintain a culture centered on excellence and continuous learning.
Company Size
201-500
Company Stage
Private
Total Funding
$10.3B
Headquarters
Stamford, Connecticut
Founded
2014
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What makes Point72 unique
- Steven Cohen still anchors a multi-strategy platform across equities, macro, quant, and private investments.
- Point72 is doubling Japan headcount and capital allocation, signaling conviction in local governance reform.
- The firm hired Ashot Ordukhanyan in October 2026 to strengthen risk technology.
- Upsides to catch: Japan expansion, talent attraction, and stronger infrastructure for multi-pod trading.
- Bloomberg reported September 2026 plans to double Japan staff beyond 100 within years.
- Point72 still has 212 open roles, concentrated in software, research, and data.
- Competition for staff in Japan is extreme; Point72 added a trainer and recruiter.
- Guillaume Gimonet left global treasury technology for Vanguard, exposing retention pressure in critical systems.
- Senior technologists and quants can defect to Citadel, Millennium, or Vanguard faster than Point72 replaces them.
- Japan expansion depends on governance reform staying favorable; reversal would slow returns by 2027.
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Benefits
Fully-paid health care benefits
Generous parental and family leave policies
Mental and physical wellness programs
Volunteer opportunities
Non-profit matching gift program
Support for employee-led affinity groups representing women, minorities and the LGBT+ community
Tuition assistance
A 401(k) savings program with an employer match and more
Company News
Hedge fund Point72 hired the former head of JPMorgan's equities central risk book. 1 minute ago The central risk book of a bank can be one of the most powerful (and political) places to work outside of a trading desk. These teams monitor the trading strategies of various teams across their bank and can often deploy trading strategies to hedge the risks those trading desks make. 'CRB' quants can be a natural fit for hedge funds; one of the former leaders of JPMorgan's equities CRB has just emerged at hedge fund Point72. Ashot Ordukhanyan joined Point72 as head of risk technology, based in New York. He joined from risk intelligence fintech ActiveViam, where he was head of quant development for two years, but spent the two years before that as co-head of JPMorgan's equities CRB. Ordukhanyan was also a top quantitative strategist (another kind of quant coveted by hedge funds) across multiple banks. He spent 14 years at Goldman Sachs, rising from an associate to its co-head of US equity algorithmic trading strats. He left to run rates algorithmic trading at RBS before joining Deutsche Bank where he was Americas head of equity strats. Risk teams in hedge funds can be very different to teams in banks. Giuseppe Paleologo, who worked in risk for both Citadel and Millennium, previously told Bloomberg that hedge fund risk staff manage pods like a trader would manage equities. Ordukhanyan appears to be tasked with building the systems that facilitate this. The fund also lost one of its most senior technologists this month. Guillaume Gimonet, head of global treasury technology, left to become head of fixed income and ETF technology at Vanguard. He spent seven years at the fund and was previously head of macro risk and treasury technology. Gimonet was also previously an MD at Credit Suisse and CTO of George Soros' family office, Soros Fund Management. Point72 declined to comment. Have a confidential story, tip, or comment you'd like to share? Contact: WhatsApp: http://wa.me/442079977910 (+44 20 7997 7910), Telegram: @AlexMcMurray, Signal: @AlexMcMurrayEFC.88 Click here to fill in our anonymous form, or email [email protected]. Bear with us if you leave a comment at the bottom of this article: comments are moderated intermittently by human beings. Sometimes these humans might be asleep, or away from their desks, so it may take a while for your comment to appear. You must take sole responsibility for comments you post on this site. We will take reasonable steps to weed out anything that we consider to be offensive or inappropriate. The essential daily roundup of news and analysis read by everyone from senior bankers and traders to new recruits. Boost your career. Find thousands of job opportunities by signing up to eFinancialCareers today. Top Articles
AI firms Modal Labs, Instinct and SiMa.ai secure $750m, $1bn and $150m rounds. Recent funding rounds saw Modal Labs raise $750 million, Instinct $1 billion and SiMa.ai $150 million, while robotics and biotech startups also secured sizable investments. Artificial intelligence. Modal Labs, the New York-based serverless AI inference platform founded in 2021 by Erik Bernhardsson and Akshat Bubna, is close to completing a $750 million financing led by Accel that would lift its post-money valuation to about $15.75 billion, up from $4.65 billion after its May 2026 Series C [1][6]. The round, reported at a valuation near $16 billion in other outlets, more than triples the company's worth in four months and follows revenue growth to over $300 million annualised as of May 2026 [4]. Modal's service lets developers run Python functions and AI workloads on GPUs and CPUs across multiple clouds without managing servers, counting customers such as Cognition, Suno, Ramp and Substack among its roughly 150-person workforce [1]. Edge-AI chipmaker SiMa.ai closed a $150 million Series C at a $1.45 billion post-money valuation, co-led by Fidelity Management & Research and Amplify Partners, with participation from Dell Technologies Capital, Point72, StepStone Group and several other investors [3][8]. The company, founded in 2018 by former Xilinx executive Krishna Rangasayee, reported a four-fold revenue increase from 2024 to 2025 and is now scaling its second-generation Modalix chip and the Palette Neat software environment for drones, humanoid robots and automotive applications. Funds will be used to bring a next-generation hardware design delivering 1,000 dense TOPS to market in early 2028 and to expand the open-source software stack that lets developers specify speed, power and accuracy constraints. SiMa.ai positions its pin-compatible module as a drop-in alternative to Nvidia's Jetson line, aiming to capture a share of the projected $50 trillion physical-AI market. Robotics. Feather Robotics raised $7.6 million in a pre-seed SAFE round led by Gradient Ventures, with participation from Builder Capital, Geometry, Virgo VC and London-listed SEED Innovations, whose earlier $1 million investment converts at a $60 million valuation cap [2]. The East Palo Alto startup offers a modular humanoid platform priced at $29,990, paired with an SDK that lets developers load any AI model, and has already generated over $1 million in revenue from manufacturing and food-service customers. Feather's rapid development cycle - first prototype in two months and first shipped unit in nine - aims to establish an open hardware standard for physical-intelligence robots, positioning the company against vertically integrated rivals such as Tesla and Figure AI. India-based Unbox Robotics secured $28 million in a mixed primary-secondary round led by ICICI Venture, with participation from RedStart Labs, F-Prime, 3one4 Capital, Navam Capital, Force Ventures and existing backers [5]. The funding will expand the engineering team, accelerate product development and broaden market reach in India and overseas, while part of the secondary capital provides liquidity to employees. Unbox builds modular, AI-driven mobile robots for parcel and package sorting, deploying around 500 units across Europe and preparing its first large-scale U.S. rollout with a third-party logistics provider. The company's swarm-intelligence software enables coordinated robot fleets, and it pursues additional opportunities in pharma manufacturing. Humanoid-robot specialist Figure AI, valued at $39 billion after its September 2025 Series C, reported that its robot headcount surpassed its human staff for the first time in June 2026, with roughly 740 Figure units deployed against about 660 employees [7]. The firm's flagship Figure 03, launched in October 2025, is a 5-foot-8, 135-pound biped equipped with the in-house Helix vision-language-action model and is currently used in BMW's Spartanburg plant for vehicle assembly. Figure generates revenue through a robot-as-a-service model priced around $3,200 per robot per month and bulk purchases near $89,000 per unit, though exact figures are undisclosed. Investors in the latest round include Parkway Venture Capital, Brookfield, Nvidia, Qualcomm Ventures and other strategic capital partners.
Heidi, the AI Care Partner for clinicians globally, today announced the close of a US$100 million Series C funding round led by Blackbird, with participation...
Perfectly false: why the voice you trust is the threat. September 22nd 2026 There was a time, not so long ago, when a familiar voice on the phone settled the matter. You knew your finance director's laugh, your mortgage broker's slightly weary "right then", the particular way your chief executive clears her throat before saying something expensive. Recognition was a kind of security system, which served VerifyLabs well since the invention of the telephone. That system has quietly been switched off. Most businesses simply haven't noticed yet. The voice you trust, annexed by someone else Consider a couple in West Michigan. This month, Brian and Wendy VanDoeselaar lost their entire closing fund to scammers who combined AI voice cloning, spoofed email and spoofed caller ID to impersonate the mortgage professional they had been working with for weeks. The sum was $66,000. What undid them wasn't carelessness. He heard a familiar voice, on a number that matched his lender's, confirming wiring instructions that arrived in an email that looked right; three layers of fakery reinforced one another before any single one raised a flag. If you're tempted to think this only happens to ordinary people buying ordinary houses, look at who was targeted in August. A coordinated voice-phishing campaign went after several of Wall Street's largest asset managers, using cloned voices to mimic the tone and phrasing of executives and colleagues in order to coax staff into surrendering credentials or granting system access. Two Sigma, Citadel, Point72 and Millennium Management all faced attempted breaches; Two Sigma confirmed it stopped the attack with no data compromised. These are firms with security budgets most of VerifyLabs can only dream of. The criminals clearly thought the clones were good enough to be worth the effort. Where the money goes afterwards Fraud is only half the story. Stolen money has to be washed, and deepfakes are increasingly how criminals get through the front door of the financial system in the first place. In February, a Ukrainian national pleaded guilty in the US to running OnlyFake, a site that generated and sold digital fake ID documents; prosecutors said it produced more than 10,000 fraudulent IDs, helping customers slip past Know Your Customer checks at banks and crypto exchanges. In the Netherlands, a case running through the Amsterdam courts involved a man who opened 47 fraudulent bank accounts by defeating a bank's selfie-versus-ID onboarding check with deepfake and face-swap imagery. The scale of what sits behind all this is sobering. INTERPOL's Operation First Light, which ran from January to April this year, targeted social engineering scams and the money laundering around them, leading to 5,811 arrests and the interception of $293 million across 97 countries. In Thailand, investigators found the digital wallet of one suspect, aged just 20, had processed more than $122.5 million in ten months. In Eswatini, police uncovered a gang that had built a realistic replica of a Brazilian police station, complete with fake uniforms and signage, then posed as Brazil's Federal Police on video calls to talk victims into moving money for "safekeeping". The carpentry involved sounds almost whimsical, until you realise that the most convincing deepfake scams merge real and synthetic content. AI bad actors are increasingly blending real and fake to make their "kills". Why "we'll train our people to spot it" isn't enough The instinct of most organisations is to run an awareness session and hope for the best. The evidence is not kind to that plan. Veriff's 2026 research, based on a survey of 3,000 people across the US, UK and Brazil, found that people are barely better than a coin toss at telling a real video or image from a fabricated one, with video the hardest format of all. In Britain specifically, 22% of people say they never verify suspicious content, the highest rate of any country surveyed. Meanwhile the machinery of fraud is being industrialised. Entrust's 2026 Identity Fraud Report, drawn from more than a billion identity-verification events, found that deepfakes now account for one in five biometric fraud attempts. Here at home, UK Finance reported payment fraud losses of £1.28 billion in 2025, with authorised push payment fraud up 19% to £576.4 million, and said organised criminal groups are increasingly using deepfakes, cloned voices and synthetic identities to impersonate trusted people and bypass identity checks. The law has noticed, even if the boardroom hasn't This is where "optional extra" finally stops being a defensible position. In the UK, the failure to prevent fraud offence came into force on 1 September 2025 for large organisations, and a company can now be criminally liable for fraud committed for its benefit, including deepfake-enabled fraud, unless it can show reasonable prevention procedures were in place. Across the Channel, Article 50 of the EU AI Act has applied since 2 August 2026, and UK businesses serving EU customers fall within its scope. Put plainly: when a deepfake gets through, the question will no longer be "how were you to know?" It will be "what did you have in place?" What changes when you can check None of this means abandoning a good process. Call-backs on known numbers, second sign-offs and a healthy scepticism about urgency all still matter. But process relies on someone deciding to be suspicious, and the whole art of a good deepfake is that it gives them no reason to be. That is the gap a detector fills. VerifyLabs.AI was independently benchmarked in 2026 at 98% accuracy, runs without any API integration, and works across iOS, Android, desktop and Chrome, so the check can happen on the call, in the inbox or at onboarding, wherever the doubt arises. It won't replace judgement. It gives judgement something solid to stand on again. The familiar voice used to be the proof. Now it's the question. * Resemble AI, "The Deepfake Watchlist: Week of September 11-17, 2026" (17 Sep 2026), summarising CNN, "How two homebuyers in Michigan lost $66,000 in a suspected voice-cloning scam" (15 Sep 2026). resemble.ai/resources/the-deepfake-watchlist-week-of-september-11-17-2026 * Resemble AI, "The Deepfake Watchlist: Week of July 31 - August 6, 2026" (7 Aug 2026), summarising Investing.com/Bloomberg, "Wall Street hit by wave of AI-powered 'vishing' cyberattacks". resemble.ai/resources/the-deepfake-watchlist-week-of-july-31 - august-6-2026 * INTERPOL, "Over 5,800 arrests, USD 293 million intercepted in global fraud bust" (9 Jul 2026). interpol.int * Adaptive Security, "11 Deepfake Attack Examples: Real-World AI Fraud Cases" (26 Jun 2026), citing a February 2026 US Department of Justice announcement. adaptivesecurity.com/blog/11-deepfake-attack-examples-2026 * Brightside AI, "Deepfake Fraud in 2026: The $3.7B Problem and How to Defend" (19 Jul 2026). brside.com/blog/deepfake-fraud-losses-2026 * Veriff, "What deepfake fraud actually costs businesses in 2025-2026" (17 Jul 2026). veriff.com/fraud/deepfake-fraud-cost-2026 * Veriff, "Deepfakes Report 2026 UK" (May 2026). veriff.com/resources/ebooks/deepfakes-report-2026-uk * DeepStrike, "Deepfake Statistics 2026" (Aug 2026), citing the Entrust 2026 Identity Fraud Report. deepstrike.io/blog/deepfake-statistics-2025 * IBTimes UK, "UK Fraud Losses Hit £1.28B as Banks Warn AI Makes Scams Harder to Spot" (12 Jul 2026), reporting UK Finance's Fraud Report 2026. ibtimes.co.uk/ai-driven-fraud-costs-uk-1-28-billion-1808188 * Internet Safety Statistics, "Deepfake Technology Threats: A 2026 UK Business Guide" (Sep 2026). internetsafetystatistics.com/deepfake-technology-threats
Some top Squarepoint traders joined big funds. Now they're leaving again. 2 hours ago Squarepoint, the quantitative hedge fund, is sometimes compared to Qube Research and Technologies. Both are run by the French. Both spun out of banks. Based on our admittedly partial visibility, though, it seems that people might leave Squarepoint more frequently. Squarepoint's past departures include Nathan Benabou, a top quant portfolio manager (PMs) who left in 2021 and joined Point72 in Dubai, and Khalil Bouchareb, one of Squarepoint's top PMs, who went to Millennium in early 2025. We understand that Benabou has left Point72 and is enroute elsewhere. Some members of his seven person team are understood to have left too, although some have been redeployed at Point72. Similarly, we understand that Khalil Bouchareb will be leaving Millennium along with Antoine Le Calvez, a quant researcher who also formerly worked for Squarepoint. Bouchareb's intention is unclear; it's understood that he's still at Millennium at the moment. Point72 and Millennium declined to comment. Benabou didn't respond to a request to comment. Benhamou is thought to have been among the top performers at Cubist, Point72's systematic investing business. Cubist has been through a few changes. In late 2025, Point72 hired Geoffrey Lauprete, the former CIO of WorldQuant to run Cubist, thereby displacing Denis Dancanet. It's thought that Dancanet hired Benabou. Issam Bazzi, another senior quant on the team, was reported to leave in March. Lauprete has been hiring his own people to Cubist, including - most recently - John Koehl from Balyasny. Benabou's departure may have been prompted by these changes. Meanwhile, Squarepoint itself has been doing some hiring. Recent recruits to its team include macro portfolio manager Mark Orsley in New York (ex-BlueCrest) and Priyanka Chatterjee (ex-Verition). Squarepoint didn't respond to a request to comment. Follow me on X. Follow me on LinkedIn. Have a confidential story, tip, or comment you'd like to share? Contact: +44 7537 182250 (SMS, Whatsapp or voicemail). Telegram: @SarahButcher. Signal: sarahbutcher.22 Click here to fill in our anonymous form, or email [email protected]. Bear with us if you leave a comment at the bottom of this article: comments are moderated intermittently by human beings. Sometimes these humans might be asleep, or away from their desks, so it may take a while for your comment to appear. You must take sole responsibility for comments you post on this site. We will take reasonable steps to weed out anything that we consider to be offensive or inappropriate. The essential daily roundup of news and analysis read by everyone from senior bankers and traders to new recruits. Boost your career. Find thousands of job opportunities by signing up to eFinancialCareers today. Top Articles